Keywords AI

NVIDIA vs Vast.ai

Compare NVIDIA and Vast.ai side by side. Both are tools in the Inference & Compute category.

Quick Comparison

NVIDIA
NVIDIA
Vast.ai
Vast.ai
CategoryInference & ComputeInference & Compute
PricingEnterprise
Best ForEnterprises and research labs that need the highest-performance GPU infrastructure
Websitenvidia.comvast.ai
Key Features
  • H100 and B200 GPU clusters
  • DGX Cloud platform
  • CUDA ecosystem
  • NeMo framework for LLM training
  • Omniverse for 3D and simulation
Use Cases
  • Large-scale model training
  • High-performance inference serving
  • AI research and development
  • Autonomous vehicle and robotics simulation
  • Enterprise AI infrastructure

When to Choose NVIDIA vs Vast.ai

NVIDIA
Choose NVIDIA if you need
  • Large-scale model training
  • High-performance inference serving
  • AI research and development
Pricing: Enterprise

About NVIDIA

NVIDIA dominates the AI accelerator market with its GPU hardware (H100, A100, B200) and CUDA software ecosystem. NVIDIA's DGX Cloud provides GPU-as-a-service for AI training and inference, while its TensorRT and Triton platforms optimize model deployment. The company also operates NGC, a catalog of GPU-optimized AI containers and models. NVIDIA hardware powers the vast majority of AI training and inference worldwide.

About Vast.ai

Vast.ai is a decentralized GPU marketplace that connects GPU owners with AI developers, offering some of the lowest prices in the market through auction-based pricing. The platform provides access to a wide range of GPUs from consumer-grade to data center hardware for training, fine-tuning, and inference workloads.

What is Inference & Compute?

Platforms that provide GPU compute, model hosting, and inference APIs. These companies serve open-source and third-party models, offer optimized inference engines, and provide cloud GPU infrastructure for AI workloads.

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